COMPMID-3532: Align data type support between doxygen and implementation - NEON
Change-Id: I70662cfb43890873b706b3f22b348f5d8cdd63ca
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3506
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h b/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h
index 0bab911..90a33d9 100644
--- a/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h
+++ b/arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h
@@ -47,6 +47,18 @@
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
+ * Valid configurations (Input1,Input2) -> Output :
+ *
+ * - (U8,U8) -> U8
+ * - (U8,U8) -> S16
+ * - (QASYMM8, QASYMM8) -> QASYMM8
+ * - (QASYMM8_SIGNED, QASYMM8_SIGNED) -> QASYMM8_SIGNED
+ * - (S16,U8) -> S16
+ * - (U8,S16) -> S16
+ * - (S16,S16) -> S16
+ * - (F16,F16) -> F16
+ * - (F32,F32) -> F32
+ *
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/QSYMM16/S16/F16/F32
* @param[in] input2 Second tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/QSYMM16/S16/F16/F32
* @param[out] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/QSYMM16/S16/F16/F32
@@ -56,6 +68,18 @@
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticSubtraction
*
+ * Valid configurations (Input1,Input2) -> Output :
+ *
+ * - (U8,U8) -> U8
+ * - (U8,U8) -> S16
+ * - (QASYMM8, QASYMM8) -> QASYMM8
+ * - (QASYMM8_SIGNED, QASYMM8_SIGNED) -> QASYMM8_SIGNED
+ * - (S16,U8) -> S16
+ * - (U8,S16) -> S16
+ * - (S16,S16) -> S16
+ * - (F16,F16) -> F16
+ * - (F32,F32) -> F32
+ *
* @param[in] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
* @param[in] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
* @param[in] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
diff --git a/arm_compute/runtime/NEON/functions/NECast.h b/arm_compute/runtime/NEON/functions/NECast.h
index 55c21a0..a124452 100644
--- a/arm_compute/runtime/NEON/functions/NECast.h
+++ b/arm_compute/runtime/NEON/functions/NECast.h
@@ -44,23 +44,23 @@
* Valid conversions Input -> Output :
*
* - QASYMM8_SIGNED -> S16, S32, F32, F16
- * - QASYMM8 -> U16, S16, S32, F32, F16
- * - U8 -> U16, S16, S32, F32, F16
- * - U16 -> U8, U32
- * - S16 -> QASYMM8_SIGNED, U8, S32
- * - F16 -> QASYMM8_SIGNED, QASYMM8, F32, S32, U8
- * - S32 -> QASYMM8_SIGNED, QASYMM8, F16, F32, U8
- * - F32 -> QASYMM8_SIGNED, QASYMM8, F16, S32, U8
+ * - QASYMM8 -> U16, S16, S32, F32, F16
+ * - U8 -> U16, S16, S32, F32, F16
+ * - U16 -> U8, U32
+ * - S16 -> QASYMM8_SIGNED, U8, S32
+ * - F16 -> QASYMM8_SIGNED, QASYMM8, F32, S32, U8
+ * - S32 -> QASYMM8_SIGNED, QASYMM8, F16, F32, U8
+ * - F32 -> QASYMM8_SIGNED, QASYMM8, BFLOAT16, F16, S32, U8
*
* @param[in] input The input tensor to convert. Data types supported: QASYMM8_SIGNED/QASYMM8/U8/U16/S16/F16/S32/F32.
- * @param[out] output The output tensor. Data types supported: QASYMM8_SIGNED/QASYMM8/U8/S8/U16/S16/U32/S32/F16/F32.
+ * @param[out] output The output tensor. Data types supported: QASYMM8_SIGNED/QASYMM8/U8/S8/U16/S16/U32/S32/BFLOAT16/F16/F32.
* @param[in] policy Conversion policy.
*/
void configure(ITensor *input, ITensor *output, ConvertPolicy policy);
/** Static function to check if given info will lead to a valid configuration of @ref NECast
*
* @param[in] input Source tensor info. Data types supported: QASYMM8_SIGNED/QASYMM8/U8/U16/S16/F16/S32/F32.
- * @param[in] output Destination tensor info. Data type supported: QASYMM8_SIGNED/QASYMM8/U8/S8/U16/S16/U32/S32/F16/F32.
+ * @param[in] output Destination tensor info. Data type supported: QASYMM8_SIGNED/QASYMM8/U8/S8/U16/S16/U32/S32/BFLOAT16/F16/F32.
* @param[in] policy Conversion policy.
*
* @return a status
diff --git a/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h b/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h
index f8d0ce8..4ac8e72 100644
--- a/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -39,13 +39,13 @@
public:
/** Configure the kernel.
*
- * @param[in] input Source tensor. Data types supported: QASYMM8/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16.
+ * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16.
* @param[out] output Destination tensor with the same dimensions of input. Data type supported: F16/F32.
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEDequantizationLayer
*
- * @param[in] input Input tensor info. Data types supported: QASYMM8/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16.
+ * @param[in] input Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16.
* @param[in] output Output tensor info. Data type supported: F16/F32.
*
* @return a status
diff --git a/arm_compute/runtime/NEON/functions/NEDetectionPostProcessLayer.h b/arm_compute/runtime/NEON/functions/NEDetectionPostProcessLayer.h
index d616762..10dddc7 100644
--- a/arm_compute/runtime/NEON/functions/NEDetectionPostProcessLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDetectionPostProcessLayer.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -55,9 +55,9 @@
NEDetectionPostProcessLayer &operator=(const NEDetectionPostProcessLayer &) = delete;
/** Configure the detection output layer NE function
*
- * @param[in] input_box_encoding The bounding box input tensor. Data types supported: F32, QASYMM8.
- * @param[in] input_score The class prediction input tensor. Data types supported: Same as @p input_box_encoding.
- * @param[in] input_anchors The anchors input tensor. Data types supported: Same as @p input_box_encoding.
+ * @param[in] input_box_encoding The bounding box input tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F32.
+ * @param[in] input_score The class prediction input tensor. Data types supported: same as @p input_box_encoding.
+ * @param[in] input_anchors The anchors input tensor. Data types supported: same as @p input_box_encoding.
* @param[out] output_boxes The boxes output tensor. Data types supported: F32.
* @param[out] output_classes The classes output tensor. Data types supported: Same as @p output_boxes.
* @param[out] output_scores The scores output tensor. Data types supported: Same as @p output_boxes.
@@ -70,14 +70,14 @@
ITensor *output_boxes, ITensor *output_classes, ITensor *output_scores, ITensor *num_detection, DetectionPostProcessLayerInfo info = DetectionPostProcessLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEDetectionPostProcessLayer
*
- * @param[in] input_box_encoding The bounding box input tensor info. Data types supported: F32, QASYMM8.
- * @param[in] input_class_score The class prediction input tensor info. Data types supported: F32, QASYMM8.
- * @param[in] input_anchors The anchors input tensor. Data types supported: F32, QASYMM8.
- * @param[out] output_boxes The output tensor. Data types supported: F32.
- * @param[out] output_classes The output tensor. Data types supported: Same as @p output_boxes.
- * @param[out] output_scores The output tensor. Data types supported: Same as @p output_boxes.
- * @param[out] num_detection The number of output detection. Data types supported: Same as @p output_boxes.
- * @param[in] info (Optional) DetectionPostProcessLayerInfo information.
+ * @param[in] input_box_encoding The bounding box input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F32.
+ * @param[in] input_class_score The class prediction input tensor info. Data types supported: same as @p input_box_encoding.
+ * @param[in] input_anchors The anchors input tensor info. Data types supported: same as @p input_box_encoding.
+ * @param[in] output_boxes The output tensor info. Data types supported: F32.
+ * @param[in] output_classes The output tensor info. Data types supported: Same as @p output_boxes.
+ * @param[in] output_scores The output tensor info. Data types supported: Same as @p output_boxes.
+ * @param[in] num_detection The number of output detection tensor info. Data types supported: Same as @p output_boxes.
+ * @param[in] info (Optional) DetectionPostProcessLayerInfo information.
*
* @return a status
*/
diff --git a/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h b/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h
index 08f798e..d24f975 100644
--- a/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h
+++ b/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h
@@ -292,7 +292,7 @@
*
* @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
- * @param[out] output Output tensor. Data types supported: U16/U32.
+ * @param[out] output Output tensor. Data types supported: U8.
* @param[in] op Comparison Operation to be performed.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output, ComparisonOperation op);
@@ -300,7 +300,7 @@
*
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
- * @param[in] output Output tensor info. Data types supported: U16/U32.
+ * @param[in] output Output tensor info. Data types supported: U8.
* @param[in] op Comparison Operation to be performed.
*
* @return a status
diff --git a/arm_compute/runtime/NEON/functions/NEElementwiseUnaryLayer.h b/arm_compute/runtime/NEON/functions/NEElementwiseUnaryLayer.h
index 1fd2488..762329d 100644
--- a/arm_compute/runtime/NEON/functions/NEElementwiseUnaryLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEElementwiseUnaryLayer.h
@@ -96,13 +96,13 @@
public:
/** Initialize the function
*
- * @param[in] input Input tensor. Data types supported: F16/F32/S32.
+ * @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NELogLayer
*
- * @param[in] input First tensor input info. Data types supported: F16/F32/S32.
+ * @param[in] input First tensor input info. Data types supported: F16/F32.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
* @return a status
diff --git a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
index e7da100..8bff3ba 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
@@ -64,21 +64,21 @@
/** Set the input and output tensors.
*
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
- * Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32.
+ * Data type supported: All.
* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
- * Data type supported: Same as @p weights, S32 if @p weights is QASYMM8/QASYMM8_SIGNED, FP32 if @p weights is BFLOAT16
- * @param[out] output Destination tensor.
- * Data types supported: Same as @p weights, FP32 if @p weights is BFLOAT16
+ * Data type supported: same as @p weights.
+ * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types.
+ * @param[out] output Destination tensor. Data types supported: same as @p weights.
*/
void configure(const ITensor *weights, const ITensor *biases, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEConvolutionLayerReshapeWeights
*
* @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
- * Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32.
+ * Data type supported: All.
* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
- * Data type supported: Same as @p weights, S32 if @p weights is QASYMM8/QASYMM8_SIGNED, FP32 if @p weights is BFLOAT16
- * @param[in] output Destination tensor.
- * Data types supported: Same as @p weights FP32 if @p weights is BFLOAT16
+ * Data type supported: same as @p weights.
+ * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types.
+ * @param[in] output Destination tensor. Data types supported: same as @p weights.
*
* @return an error status
*/
diff --git a/arm_compute/runtime/NEON/functions/NEIm2Col.h b/arm_compute/runtime/NEON/functions/NEIm2Col.h
index cb905a3..79abcdb 100644
--- a/arm_compute/runtime/NEON/functions/NEIm2Col.h
+++ b/arm_compute/runtime/NEON/functions/NEIm2Col.h
@@ -46,7 +46,7 @@
* @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM],
* while every optional dimension from 4 and above represent a batch of inputs.
* Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32
- * Note: QASYMM8 works only for has_bias = false
+ * Note: QASYMM8/QASYMM8_SIGNED works only for has_bias = false
* @param[out] output The output tensor. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
@@ -61,7 +61,7 @@
* @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM],
* while every optional dimension from 4 and above represent a batch of inputs.
* Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32
- * Note: QASYMM8 works only for has_bias = false
+ * Note: QASYMM8/QASYMM8_SIGNED works only for has_bias = false
* @param[in] output The output tensor. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
diff --git a/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h b/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h
index 3b12093..4b32f96 100644
--- a/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h
+++ b/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h
@@ -40,22 +40,28 @@
public:
/** Initialise the kernel's inputs, output and convertion policy.
*
+ * Valid configurations (Input1,Input2) -> Output :
+ *
+ * - (U8,U8) -> U8
+ * - (U8,U8) -> S16
+ * - (U8,S16) -> S16
+ * - (S16,U8) -> S16
+ * - (S16,S16) -> S16
+ * - (F16,F16) -> F16
+ * - (F32,F32) -> F32
+ * - (QASYMM8,QASYMM8) -> QASYMM8
+ * - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
+ * - (QSYMM16,QSYMM16) -> QSYMM16
+ * - (QSYMM16,QSYMM16) -> S32
+ *
* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
*
- * @param[in, out] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
+ * @param[in, out] input1 First input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
* This input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[in, out] input2 An input tensor. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), QASYMM8_SIGNED (only if @p input1 is QASYMM8_SIGNED), S16, QSYMM16 (only if @p input1 is QSYMM16), F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
+ * @param[in, out] input2 Second input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
* This input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[out] output Output tensor. Data types supported:
- * - U8, only if both inputs are U8.
- * - QASYMM8, only if both inputs are QASYMM8.
- * - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED.
- * - S16.
- * - QSYMM16, only if both inputs are QSYMM16.
- * - S32, only if both inputs are QSYMM16.
- * - F16, only if @p input1 is F16.
- * - F32, only if both inputs are F32.
+ * @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
* @param[in] scale Scale to apply after multiplication.
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8, QASYMM8_SIGNED or QSYMM16.
@@ -66,20 +72,26 @@
const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplication
*
+ * Valid configurations (Input1,Input2) -> Output :
+ *
+ * - (U8,U8) -> U8
+ * - (U8,U8) -> S16
+ * - (U8,S16) -> S16
+ * - (S16,U8) -> S16
+ * - (S16,S16) -> S16
+ * - (F16,F16) -> F16
+ * - (F32,F32) -> F32
+ * - (QASYMM8,QASYMM8) -> QASYMM8
+ * - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
+ * - (QSYMM16,QSYMM16) -> QSYMM16
+ * - (QSYMM16,QSYMM16) -> S32
+ *
* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
*
- * @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
- * @param[in] input2 An input tensor info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), QASYMM8_SIGNED (only if @p input1 is QASYMM8_SIGNED), S16, QSYMM16 (only if both inputs are QSYMM16), F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
- * @param[in] output Output tensor info. Data types supported:
- * - U8, only if both inputs are U8.
- * - QASYMM8, only if both inputs are QASYMM8.
- * - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED.
- * - S16.
- * - QSYMM16, only if both inputs are QSYMM16.
- * - S32, only if both inputs are QSYMM16.
- * - F16, only if @p input1 is F16.
- * - F32, only if both inputs are F32.
+ * @param[in] input1 First input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
+ * @param[in] input2 Second input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
+ * @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
* @param[in] scale Scale to apply after multiplication.
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8, QASYMM8_SIGNED or QSYMM16.
diff --git a/arm_compute/runtime/NEON/functions/NEPoolingLayer.h b/arm_compute/runtime/NEON/functions/NEPoolingLayer.h
index e43741c..8d018b7 100644
--- a/arm_compute/runtime/NEON/functions/NEPoolingLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEPoolingLayer.h
@@ -58,10 +58,10 @@
*
* @note F16 is supported for pool sizes 2 and 3 only
*
- * @param[in] input Source tensor. (Written to only when padding != 0) Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
- * @param[in] output Destination tensor. Data types supported: Same as @p input.
+ * @param[in] input Source tensor info. (Written to only when padding != 0) Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+ * @param[in] output Destination tensor info. Data types supported: Same as @p input.
* @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
- * @param[in] indices (optional) The indices of the maximal values. Data type supported: U32.
+ * @param[in] indices (optional) Tensor info of the indices of the maximal values. Data type supported: U32.
*
* @return a status
*/
diff --git a/arm_compute/runtime/NEON/functions/NEReductionOperation.h b/arm_compute/runtime/NEON/functions/NEReductionOperation.h
index 78e8b04..a7c6e23 100644
--- a/arm_compute/runtime/NEON/functions/NEReductionOperation.h
+++ b/arm_compute/runtime/NEON/functions/NEReductionOperation.h
@@ -28,7 +28,6 @@
#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"
#include "arm_compute/core/NEON/kernels/NEReductionOperationKernel.h"
-#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEReshapeLayer.h"
#include "arm_compute/runtime/Tensor.h"
@@ -49,17 +48,17 @@
NEReductionOperation(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Set the input and output tensors.
*
- * @param[in] input Source tensor. Data type supported: QASYMM8_SIGNED/QASYMM8/F16/F32. Data layouts supported: NCHW. (Written to only for border_size != 0)
- * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
- * @param[in] axis Dimension along which to reduce. Supported reduction axis : 0
- * @param[in] op Reduction operation to perform.
- * @param[in] keep_dims (Optional) Whether to keep the reduced dimension after the operation. Defaults to true.
+ * @param[in, out] input Source tensor. Data type supported: QASYMM8_SIGNED/QASYMM8/F16/F32/S32. Data layouts supported: NCHW. (Written to only for border_size != 0)
+ * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
+ * @param[in] axis Dimension along which to reduce. Supported reduction axis : 0
+ * @param[in] op Reduction operation to perform.
+ * @param[in] keep_dims (Optional) Whether to keep the reduced dimension after the operation. Defaults to true.
*/
void configure(ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op, bool keep_dims = true);
/** Static function to check if given info will lead to a valid configuration of @ref NEReductionOperation.
*
- * @param[in] input Source tensor info. Data type supported: QASYMM8_SIGNED/QASYMM8/F16/F32. Data layouts supported: NCHW. (Written to only for border_size != 0)
+ * @param[in] input Source tensor info. Data type supported: QASYMM8_SIGNED/QASYMM8/F16/F32/S32. Data layouts supported: NCHW.
* @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input.
* @param[in] axis Dimension along which to reduce. Supported reduction axis : 0
* @param[in] op Reduction operation to perform.
diff --git a/arm_compute/runtime/NEON/functions/NEScale.h b/arm_compute/runtime/NEON/functions/NEScale.h
index 30bcdc1..901001f 100644
--- a/arm_compute/runtime/NEON/functions/NEScale.h
+++ b/arm_compute/runtime/NEON/functions/NEScale.h
@@ -47,7 +47,7 @@
NEScale();
/** Initialize the function's source, destination, interpolation type and border_mode.
*
- * @param[in, out] input Source tensor. Data type supported: U8/S16/F16/F32. (Written to only for @p border_mode != UNDEFINED)
+ * @param[in, out] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32. (Written to only for @p border_mode != UNDEFINED)
* @param[out] output Destination tensor. Data type supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
* @param[in] policy The interpolation type.
* @param[in] border_mode Strategy to use for borders.
@@ -61,14 +61,14 @@
SamplingPolicy sampling_policy = SamplingPolicy::CENTER, bool use_padding = true, bool align_corners = false);
/** Initialize the function's source, destination, interpolation type and border_mode.
*
- * @param[in, out] input Source tensor. Data type supported: U8/S16/F16/F32. (Written to only for @p border_mode != UNDEFINED)
+ * @param[in, out] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32. (Written to only for @p border_mode != UNDEFINED)
* @param[out] output Destination tensor. Data type supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
* @param[in] info @ref ScaleKernelInfo to be used for configuration
*/
void configure(ITensor *input, ITensor *output, const ScaleKernelInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref NEScale
*
- * @param[in] input Source tensor. Data type supported: U8/S16/F16/F32. (Written to only for @p border_mode != UNDEFINED)
+ * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32. (Written to only for @p border_mode != UNDEFINED)
* @param[in] output Destination tensor. Data type supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
* @param[in] policy The interpolation type.
* @param[in] border_mode Strategy to use for borders.
@@ -84,7 +84,7 @@
PixelValue constant_border_value = PixelValue(), SamplingPolicy sampling_policy = SamplingPolicy::CENTER, bool use_padding = true, bool align_corners = false);
/** Static function to check if given info will lead to a valid configuration of @ref NEScale
*
- * @param[in] input Source tensor. Data type supported: U8/S16/F16/F32. (Written to only for @p border_mode != UNDEFINED)
+ * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32. (Written to only for @p border_mode != UNDEFINED)
* @param[in] output Destination tensor. Data type supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
* @param[in] info @ref ScaleKernelInfo to be used for validation
*
diff --git a/arm_compute/runtime/NEON/functions/NEUnstack.h b/arm_compute/runtime/NEON/functions/NEUnstack.h
index dbb04f0..6f8560b 100644
--- a/arm_compute/runtime/NEON/functions/NEUnstack.h
+++ b/arm_compute/runtime/NEON/functions/NEUnstack.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -47,8 +47,8 @@
NEUnstack();
/** Set the input, output and unstacking axis.
*
- * @param[in] input A tensor to be unstacked. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
- * @param[in,out] output_vector A vector of tensors. Data types supported: Same as @p input.
+ * @param[in] input A tensor to be unstacked. Data type supported: All.
+ * @param[in,out] output_vector A vector of tensors. Data types supported: same as @p input.
* Note: The number of elements of the vector will be used as the number of slices to be taken from the axis.
* @param[in] axis The axis to unstack along. Valid values are [-R,R) where R is the input's rank. Negative values wrap around.
*
@@ -56,8 +56,8 @@
void configure(const ITensor *input, const std::vector<ITensor *> &output_vector, int axis);
/** Static function to check if given info will lead to a valid configuration of @ref NEUnstack
*
- * @param[in] input Input tensor info. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32
- * @param[in] output_vector Vector of output tensors' info. Data types supported: Same as @p input.
+ * @param[in] input Input tensor info. Data type supported: All.
+ * @param[in] output_vector Vector of output tensors' info. Data types supported: same as @p input.
* @param[in] axis The axis to unstack along. Valid values are [-R,R) where R is the input's rank. Negative values wrap around.
*
* @return a status